Sathyanarayana Rao Surabhi

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A novel clustering-based blind channel equalizer suitable for both linear and nonlinear channels is proposed. The clusters formed by the received data are identified using a new class of unsupervised clustering algorithms known as K-Harmonic Means (KHMp). The KHMp algorithms are insensitive to the initialization of the cluster centers owing to a built-in(More)
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